CATIE-AQ/QAmembert-large
Question Answering
•
Updated
•
82.9k
•
9
Error code: DatasetWithScriptNotSupportedError
Need help to make the dataset viewer work? Open a discussion for direct support.
Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia.
An example of 'train' looks as follows.
{
"answers": {
"answer_start": [0],
"text": ["Voici"]
},
"context": "Voici le contexte du premier paragraphe du deuxième article.",
"id": "p140295460356960",
"question": "Suis-je la troisième question ?",
"title": "Jakob Böhme"
}
The data fields are the same among all splits.
id
: a string
feature.title
: a string
feature.context
: a string
feature.question
: a string
feature.answers
: a dictionary feature containing:text
: a string
feature.answer_start
: a int32
feature.name | train |
---|---|
plain_text | 3835 |
@InProceedings{keraron-EtAl:2020:LREC,
author = {Keraron, Rachel and Lancrenon, Guillaume and Bras, Mathilde and Allary, Frédéric and Moyse, Gilles and Scialom, Thomas and Soriano-Morales, Edmundo-Pavel and Staiano, Jacopo},
title = {Project PIAF: Building a Native French Question-Answering Dataset},
booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
month = {May},
year = {2020},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {5483--5492},
abstract = {Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.},
url = {https://www.aclweb.org/anthology/2020.lrec-1.673}
}
Thanks to @lewtun, @lhoestq, @thomwolf, @albertvillanova, @RachelKer for adding this dataset.